Xuemeng Liu

Orcid: 0000-0002-4527-0173

According to our database1, Xuemeng Liu authored at least 19 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Predictive Precoder Design for OTFS-Enabled URLLC: A Deep Learning Approach.
IEEE J. Sel. Areas Commun., July, 2023

Low-carbon optimal dispatch of integrated energy system considering demand response under the tiered carbon trading mechanism.
CoRR, 2023

Deep Learning-empowered Predictive Precoder Design for OTFS Transmission in URLLC.
CoRR, 2023

Deep Learning-Empowered Predictive Precoder Design for OTFS Transmission in URLLC.
Proceedings of the IEEE International Conference on Communications, 2023

2022
Deep CLSTM for Predictive Beamforming in Integrated Sensing and Communication-Enabled Vehicular Networks.
J. Commun. Inf. Networks, September, 2022

Learning Path Planning Algorithm Based on Career Goals and Artificial Intelligence.
Int. J. Emerg. Technol. Learn., May, 2022

Deep Residual Learning for Channel Estimation in Intelligent Reflecting Surface-Assisted Multi-User Communications.
IEEE Trans. Wirel. Commun., 2022

Learning-Based Predictive Beamforming for Integrated Sensing and Communication in Vehicular Networks.
IEEE J. Sel. Areas Commun., 2022

Scalable Predictive Beamforming for IRS-Assisted Multi-User Communications: A Deep Learning Approach.
CoRR, 2022

Predictive Beamforming for Integrated Sensing and Communication in Vehicular Networks: A Deep Learning Approach.
Proceedings of the IEEE International Conference on Communications, 2022

2021
Deep Residual Learning-Assisted Channel Estimation in Ambient Backscatter Communications.
IEEE Wirel. Commun. Lett., 2021

Location-Aware Predictive Beamforming for UAV Communications: A Deep Learning Approach.
IEEE Wirel. Commun. Lett., 2021

Deep Residual Network Empowered Channel Estimation for IRS-Assisted Multi-User Communication Systems.
Proceedings of the ICC 2021, 2021

Edge-Wise Gated Graph Neural Network for User Association in Massive URLLC.
Proceedings of the IEEE Globecom 2021 Workshops, Madrid, Spain, December 7-11, 2021, 2021

Deep Learning-Empowered Predictive Beamforming for IRS-Assisted Multi-User Communications.
Proceedings of the IEEE Global Communications Conference, 2021

2020
Deep Transfer Learning-Assisted Signal Detection for Ambient Backscatter Communications.
Proceedings of the IEEE Global Communications Conference, 2020

2019
Maximum Eigenvalue-Based Goodness-of-Fit Detection for Spectrum Sensing in Cognitive Radio.
IEEE Trans. Veh. Technol., 2019

Deep CM-CNN for Spectrum Sensing in Cognitive Radio.
IEEE J. Sel. Areas Commun., 2019

Deep CNN for Spectrum Sensing in Cognitive Radio.
Proceedings of the 2019 IEEE International Conference on Communications, 2019


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